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This analysis reveals challenges and potential of SAGAT in assessing clinical nurses' ability to recognize wearable devices, indicating areas for improvement in patient safety.
Wearable devices have become commonplace in society, with 1 in 3 U.S. adults owning a device and almost half wearing a device daily as a method of health tracking or monitoring. Over 80% daily device wearers are amenable to sharing data from the device with healthcare providers. Since Micah Endsley’s sentinel work and development of the Situational Awareness Global Assessment Tool (SAGAT), this tool has been applied in a variety of healthcare settings to explore user acceptance of technology and decision-making patterns related to interaction with technology. The discussed study evaluated the clinical nurse’s ability to identify a wearable device on a patient photo via online survey using SAGAT format questions. This paper reviews the successes and challenges of using SAGAT as a method to evaluate device identification by clinical nurses. Findings reveal both the potential of SAGAT for evaluating situational awareness in healthcare settings and the challenges associated with wearable device recognition. This work highlights opportunities for iterative design improvements and training interventions that support nurse engagement and patient safety in environments where wearable technologies are increasingly common.
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Johnson et al. (2025) studied this question.
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